testing

All around us, we are seeing a growing trend of artificial intelligence (AI) being implemented in every aspect of our lives—from self-driving cars to intelligent chatbots. But what about the world of DevOps? Has AI come to play a role here as well? The growing role of AI in DevOps has unearthed some key benefits it can bring to many DevOps workflows.

I need a automaction script which generates the locatore/xpath present on web page. 

The approach to test via comparison of multiple API responses between production and test code versions is very effective and produces the required results, release over release. Improvements and changes, however, are needed to address changing needs. This is true for most if not all tech solutions; the economics principle ‘Law of Diminishing Marginal Utility’ also applies to software. A tech solution that excited stakeholders when first introduced could become stale very soon. A revamp or a new solution is needed to match evolving expectations.

Whether to use Cucumber and BDD (Behavior Driven Development) is an old topic and a lot has been shared regarding this already. However I believe many times it’s just the high level technical reasons that make it to the forefront of the argument on how effective it is, and I want to address the topic from a holistic point of view and not just technical.